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首页> 外文期刊>Physics of atomic nuclei >Measurement of the electron antineutrino mass in tritium beta decay in the Troitsk nu-mass experiment
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Measurement of the electron antineutrino mass in tritium beta decay in the Troitsk nu-mass experiment

机译:Troitsk nu-mass实验中betaβ衰变中电子抗中微子质量的测量

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摘要

The results obtained in the Troitsk nu-mass experiment by measuring the electron-antineutrino mass in tritium beta decay are presented. The facility used consists of a gaseous windowless tritium source and an electrostatic electron spectrometer involving an adiabatic magnetic collimation. Runs in which measurement conditions were reliably established were thoroughly selected in analyzing data obtained from 1994 to 2004. All known systematic effects were taken into account. For the square of the electron-antineutrino mass, the treatment of measured spectra yielded the following result: m _ν ~2 = -0.67 ± 1.89 _(stat). ± 1.68 _(syst). eV ~2. The use of the Bayesian method and the Feldman-Cousins unified approach made it possible to obtain the following upper limits on the mass: m _ν < 2.12 eV (at a 95% C. L.; Bayesian method) and m _ν < 2.05 eV (at a 95% C. L., Feldman-Cousins method). At the same time, an estimation of the sensitivity limit without allowance for negative values of the square of the mass leads to m _ν < 2.2 eV (at a 95% C. L.). Measured spectra were analyzed for the possible existence of an additional structure (step) in the electron spectrum near the boundary energy. The conclusion drawn from this analysis was that, within the existing statistical errors, there are no reasons for introducing such a feature.
机译:提出了Troitsk核质量实验中通过测量-β衰变中的电子-反中微子质量而获得的结果。所使用的设备由气态无窗tri源和涉及绝热磁准直的静电电子光谱仪组成。在分析从1994年到2004年获得的数据时,彻底选择了可靠建立测量条件的运行。考虑了所有已知的系统影响。对于电子-反中微子质量的平方,所测光谱的处理产生以下结果:m_ν〜2 = -0.67±1.89 _(stat)。 ±1.68 _(syst)。 eV〜2。贝叶斯方法和Feldman-Cousins统一方法的使用使得有可能获得以下质量上限:m_ν<2.12 eV(在95%CL;贝叶斯方法下)和m_ν<2.05 eV(在a处) 95%CL,Feldman-Cousins法)。同时,在不考虑质量平方的负值的情况下对灵敏度极限的估计会导致m _v <2.2 eV(在95%C. L.的情况下)。分析了测量的光谱,以了解在边界能附近的电子光谱中是否可能存在其他结构(阶梯)。从该分析得出的结论是,在现有的统计误差范围内,没有理由引入这种功能。

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